Ruby code that can parse through a document and pull out relevant information to populate a database. The db schema is already written. For example, all the 'headings' for each section need to be placed in a the 'headings' table along with page number, etc. Then 'sub-headings' need to be placed in the sub-headings table, and reference the appropriate 'heading' etc.
The document has predictable patterns, it will be up to you to figure out the most effective way to target the specific data we're look for. I'd imagine Regex will be required.
The project can be forked from gitHub and pushed back when complete. For now it may be sufficient to have the code written in a file that can be called through a rake command.

We are looking for one or two developpers to help my team to develop some SAAS projets.
We have a particular process with extra
The developpers have to follow our developing chart
1/ we describe the project and the technics environnement (sometime we can write the technics specification)
2/ Before coding, the developpers make a return to explain how he wants to developp it.
We control them
3/ The developpers code the class & function et tests them.
We control them
At the begining, we just want test the developpers with small projects, but after we can charge them until 100 hours per month.
The most importants points are
- respect of the developping chart
- serious
- security
- right atmosphere

I need to scrap some data from amazon. I have a program that can do the work but some parts of it requires us to use RegEX expressions to extact the right data.
I need someone that can help me write the regex expressions along with guide and help extract data out that I need.
There will be about 12 - 18 fields that need to be extracted.

The job is to extract Product Data from from a number of retailers csv files, some of which are parsed by regex to extract relevant data for indextin into MySQL, nest the products appropriately in a parent child relationship for size and color, and import into Elastic Search DB for use by a mobile API Client.
Requires familiarity with Elastic Search, Regex, SQL DB's, Mobile API's - PHP, Gearman
Engagement:
Come up to speed on process and environment
Come up to speed on Gearman Workers
Complete ETL of Products into MySQL
Nest Products in MySQL according to Size and Color Attributes (Some supplied, some extracted via regex)
Import Products into Elastic Search for query by API